October 2017
Beginner to intermediate
270 pages
7h
English
This very common distribution is the first continuous distribution that we will see. As the name implies, it has a constant probability value for any interval of the domain.
In order to integrate to 1, a and b being the extreme of the function, this probability has the value of 1/(b-a).
Let's generate a plot with a sample uniform distribution using a very regular histogram, as generated by the following code:
plt.figure() uniform_low=0.25 uniform_high=0.8 plt.hist(uniform, 50, normed=1) plt.show()
Take look at the following graph:

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